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首页> 外文期刊>British Journal of Dermatology >In vivo confocal laser scanning microscopy of melanocytic skin tumours: diagnostic applicability using unselected tumour images.
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In vivo confocal laser scanning microscopy of melanocytic skin tumours: diagnostic applicability using unselected tumour images.

机译:黑色素细胞皮肤肿瘤的体内共聚焦激光扫描显微镜:使用未选择的肿瘤图像的诊断适用性。

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摘要

Background In vivo confocal laser scanning microscopy (CLSM) represents a novel imaging tool that allows the noninvasive examination of skin cancer morphology in real time at a 'quasi-histopathological' resolution viewing microanatomical structures and individual cells. Objectives To validate diagnostic confocal examination of melanocytic skin tumours using unselected tumour images. Methods In the present study, we used a total of 3709 unselected CLSM tumour images obtained from 20 malignant melanomas and 50 benign naevi. The entire set of images derived from each tumour was evaluated by independent observers. Classification tree analysis based on a subsample of 857 tumour images was performed to develop a diagnostic algorithm. Results Overall, sensitivity and specificity of 97.5% and 99% could be achieved by the independent observers (positive predictive value 97.5%, negative predictive value 99%). Classification tree analysis yielded a three-step algorithm based on only three morphological CLSM features, facilitating a correct classification in 92.4% of the benign naevus images and 97.6% of melanoma images. Conclusions In vivo CLSM augurs a sea change in the way we will view skin tumour processes clinically at the bedside and merits application for use as a screening tool in skin oncology.
机译:背景技术体内共聚焦激光扫描显微镜(CLSM)代表了一种新颖的成像工具,可通过“准组织病理学”分辨率实时观察皮肤的微观解剖结构和单个细胞,进行无创检查。目的使用未选择的肿瘤图像来验证黑色素细胞性皮肤肿瘤的诊断共聚焦检查。方法在本研究中,我们共使用了从20例恶性黑色素瘤和50例良性痣中获得的3709例未选择的CLSM肿瘤图像。独立观察员评估了每个肿瘤的完整图像。基于857个肿瘤图像的子样本进行分类树分析,以开发诊断算法。结果总体而言,独立观察者可以达到97.5%和99%的敏感性和特异性(阳性预测值为97.5%,阴性预测值为99%)。分类树分析产生了仅基于三个形态CLSM特征的三步算法,可在92.4%的良性痣图像和97.6%的黑色素瘤图像中进行正确的分类。结论体内CLSM预示着我们将在床边临床观察皮肤肿瘤过程的方式发生了翻天覆地的变化,并值得应用作为皮肤肿瘤学的筛查工具。

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